New Frontiers of Robo-Advising: Consumption, Saving, Debt Management, and Taxes

35 Pages Posted: 2 Feb 2021

Date Written: February 1, 2021

Abstract

Traditional forms of robo-advice were targeted to help individuals make portfolio allocation decisions. Based on the balance-sheet view of households, the scope for robo-advising has been expanding to many other personal-finance choices, such as households' saving and consumption decisions, debt management, mortgage uptake, tax management, and lending. This chapter reviews existing research on these new functions of robo-advising with a special emphasis on the questions that are still open for researchers across several disciplines. We also discuss the attempts to optimize jointly all personal-finance decisions, which we label ``holistic robo-advisors.'' We conclude by assessing fruitful avenues for research and practice in finance, computer science, marketing, decision science, information systems, law, and sociology.

Keywords: Algorithmic Advice, FinTech, Income Aggregators, Peer-to-Peer Lending, Financial Apps, Financial Regulation, Machine Learning Applications to Finance, TechFin, Disclosure, Credit Cards, Financial Regulation, Financial Literacy, Household Finance, Personal Finance, Trust, Financial Advisors, Peer

JEL Classification: D14, G21

Suggested Citation

D'Acunto, Francesco and Rossi, Alberto G., New Frontiers of Robo-Advising: Consumption, Saving, Debt Management, and Taxes (February 1, 2021). Available at SSRN: https://ssrn.com/abstract=3778244 or http://dx.doi.org/10.2139/ssrn.3778244

Francesco D'Acunto

Boston College ( email )

140 Commonwealth Avenue
Chestnut Hill, MA 02467
United States

Alberto G. Rossi (Contact Author)

Georgetown University ( email )

McDonough School of Business
Georgetown University
Washington, DC 20057
United States

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